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...specific combination of factors including the interaction term. i.e. what is the ed50 (and std err) for A-/B-, A+/B-, A-/B+, A+/B+ ? Regards John S. Walker, PhD Department of Physiology & Biophysics University of Illinois at Chicago 835 Sth Wolcott Ave MC 901 Chicago IL 60612 USA email: jsw9c at uic.edu phone: 1 312 355 0150 fax: 1 312 355 0261 Please avoid sending me Word or PowerPoint attachments. See http://www.fsf.org/philosophy/no-word-attachments.html

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G'day I was playing around with R trying out some of the plotting functions when I came across what may be a bug in xyplot or (more likely) me doing something wrong. try this: x<-1:10 y<-sin(x) #yes I know it's an under sampled function xyplot(y~x) lines(x,y) #at this point the lines do not lay on the xypoints spline(x,y) points(x,y) # in my installation the points(x,y)

G'day A quick followup is that it doesn't always happen. I managed to reproduce it on a fresh start-up by adding the two lines indicated by arrows try this: x<-1:10 y<-sin(x) #yes I know it's an under sampled function -> plot(x,y) ###These two lines are required to reproduce the -> lines(x,y) ### behaviour xyplot(y~x) lines(x,y) #at this point the

G''day I''ve been performing an analysis of some data by a follow the leader method (Bad I know but it seems to work and I think I understand all the steps now) and I''ve run into a problem. The analysis is for all practical purposes identical to the non-linear mixed effects analysis performed on Ludbrooks Rabbit data in the second edition of Venables & Ripley (page

Gday, This is a repost since I only had one direct reply and I remain mystified- This may be stupidity on my part but it may not be so simple. In brief, my problem is I'm not sure how to extract parameter values/effect sizes from a nonlinear regression model with a significant interaction term. My data sets are dose response curves (force and dose) for muscle that also have two